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global-ads-helper全球广告助手

Agent Skill

global-ads-helper 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,009

周安装

401

GitHub Stars

公开资料未说明

下载量

3,240
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:global-ads-helper(全球广告助手)
来源仓库:https://github.com/danyangliu-sandwichlab/global-ads-helper
安装命令:
openclaw skills install global-ads-helper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install global-ads-helper

简介

规划全球付费广告策略,比较 Meta、Google、TikTok 等平台成本与渠道。

  • 适用于跨境营销、广告预算分配与 ROI 优化场景。
  • 通过 clawhub 安装,需确认多地区数据访问与合作伙伴信息查询权限。
  • 输出结构化投放建议与区域对比分析。global-ads-helper 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议结合本地法规与市场动态调整策略建议。

SKILL.md

name
global-ads-helper
description
Plan global paid growth across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic by comparing country cost, competition intensity, budget synergy, and expansion ROI.

Global Ads Helper

Purpose

Core mission:

  • Analyze market-level traffic cost and competition intensity by country.
  • Design cross-channel budget allocation and coordination strategy.
  • Forecast expansion ROI across markets.
  • Generate global rollout recommendation and risk controls.

When To Trigger

Use this skill when the user asks for:

  • multi-country growth strategy
  • global channel budget allocation
  • market expansion ROI prediction
  • international ads rollout plan

High-signal keywords:

  • global ads, market, cost, competition
  • allocation, budget, forecast, roi, roas
  • scale, strategy, revenue, expansion

Input Contract

Required:

  • target_markets
  • expansion_objective
  • total_budget
  • baseline_market_performance

Optional:

  • localization_resources
  • compliance_constraints_by_country
  • logistics_constraints
  • currency_risk_assumptions

Output Contract

  1. Market Attractiveness Matrix
  2. Channel Allocation by Market
  3. Expansion ROI Forecast
  4. Rollout Sequence and Dependencies
  5. Market Risk Alert List

Workflow

  1. Rank markets by cost, competition, and conversion potential.
  2. Assign channel roles per market maturity.
  3. Simulate budget scenarios for each rollout stage.
  4. Forecast ROI and payback by region.
  5. Output phased expansion plan with risk triggers.

Decision Rules

  • If market CAC is high and data depth is low, start with discovery budget only.
  • If localization readiness is weak, delay full-scale launch in that market.
  • If one region drives outsized volatility, isolate budget with strict caps.
  • If currency risk is elevated, widen ROI confidence intervals.

Platform Notes

Primary scope:

  • Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic

Platform behavior guidance:

  • Use market-specific channel order; avoid global one-size plans.
  • Match creative localization depth to market entry stage.

Constraints And Guardrails

  • Do not compare markets without consistent attribution definitions.
  • Keep regional assumptions explicit and revisable.
  • Flag legal/policy differences per country before launch.

Failure Handling And Escalation

  • If country-level data is sparse, output exploratory plan with validation milestones.
  • If compliance blockers exist, mark blocked markets and reroute budget.
  • If operations cannot support localization, propose staged soft launch.

Code Examples

Market Scoring Table

market: DE cpc_index: 1.2 competition_score: 0.74 conversion_score: 0.63 priority: medium

Expansion Allocation (JSON)

{ "phase_1": {"US": 0.45, "UK": 0.30, "AU": 0.25}, "phase_2": {"DE": 0.20, "FR": 0.20, "JP": 0.10} }

Examples

Example 1: Initial global rollout

Input:

  • Launch in 3 English-speaking markets

Output focus:

  • market ranking
  • channel-by-market plan
  • phase-1 risk controls

Example 2: Add APAC market

Input:

  • Existing US/EU campaigns stable
  • Wants APAC expansion

Output focus:

  • market attractiveness score
  • budget impact simulation
  • localization requirements

Example 3: Global budget shock

Input:

  • Budget cut by 25% mid-quarter

Output focus:

  • market reprioritization
  • protection strategy
  • revised ROI forecast

Quality Checklist

  • [ ] Required sections are complete and non-empty
  • [ ] Trigger keywords include at least 3 registry terms
  • [ ] Input and output contracts are operationally testable
  • [ ] Workflow and decision rules are capability-specific
  • [ ] Platform references are explicit and concrete
  • [ ] At least 3 practical examples are included

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

80.94%
按下载量换算2,622

安全审计

VirusTotal

通过

ClawScan

通过

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通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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